Kubiya.ai functions as a DevOps or SRE assistant for us. It is not merely a chatbot or an LLM interface or exactly ChatGPT, but rather an action-oriented platform. Most AI bots simply chat, whereas Kubiya.ai is a complete agentic platform built to execute code. It connects directly to our Kubernetes, AWS, GitHub, and Jira and other tools to perform end-to-end workflows. A particularly good example is our ability to spin up a dev environment for payment services. Kubiya.ai triggers the Terraform script, waits for completion, and pastes the URL back in Slack. This end-to-end workflow execution is exceptionally valuable. Additionally, Kubiya.ai is security-oriented. A common concern in AI for DevOps is that a bot could accidentally delete a production database. Kubiya.ai solved this with strict role-based access control and human-in-loop features. If a request appears risky, it can ping a manager for approval before executing. We saved considerable time regarding productivity with Kubiya.ai. We did not need to hire as many resources for support tickets, and the process was quite smooth.
